Remote role available within Canada.
Elastic provides a suite of search-powered software offered as SaaS and on-premises, helping organizations search, analyze, and visualize data in real time. Its flagship Elasticsearch ingests data, indexes it with a fast search engine, and delivers real-time search, analytics, and visualization through dashboards, with deployments available on Elastic Cloud or Elastic On-Prem and orchestration for managing multiple deployments. It differentiates itself by offering deployment flexibility and a broad set of use cases—from enterprise search to security analytics—within a single platform with subscription pricing based on data, users, and support. The goal is to help customers manage large data volumes to improve decision-making, operational efficiency, and security.
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
Mountain View, California
Founded
2012
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Fully paid health coverage for you and your family
Flexible location and schedule for most roles.
Generous number of vacation days each year
20+ additional shut it down days
Minimum of 16 weeks of parental leave, plus generous family formation benefits.
40 hours each year to use toward volunteering
Double your charitable giving
OpenAI hires first Asia Pacific sales VP in Singapore. OpenAI has hired Sanjay Deshmukh as its first vice president of Asia Pacific sales. Based in Singapore, he will lead the company's sales efforts across the region as more companies in Asia Pacific deploy AI tools. Deshmukh joins from Elastic, a search and data analytics software company based in the US, where he was vice president for Asia Pacific. He previously served as senior vice president for the Association of Southeast Asian Nations and India at Snowflake and held regional leadership roles at VMware. He will report to CRO Dali Rajic and work with OpenAI leaders including Kiran Mani, Oliver Jay, and regional teams. The hire adds to OpenAI's Singapore expansion after the company said it would open an office there to support Asia Pacific growth. Mani also recently joined OpenAI as its Asia Pacific head in Singapore. For enterprise customers, OpenAI also introduced data residency in Asia in 2025. Separately, Singapore has issued a model AI governance framework for generative AI. Recent OpenAI developments. Stay updated on the go with our mobile app. Get latest insights with smoother, more personalized experience through TIA mobile app. How would you feel if you could no longer use Tech in Asia? Share, tag us, and land on our Wall of!
Elastic introduces serverless Vector Database: ship in minutes, scale affordably to hundreds of billions of vectors. September 11, 2026 Optimized defaults for fast, best-in-class vector search out of the box SAN FRANCISCO-(BUSINESS WIRE)- Elastic (NYSE: ESTC) today announced Elasticsearch Vector Database, a new serverless offering purpose-built for large-scale vector search and AI applications. Elasticsearch is already one of the most widely used platforms for vector workloads worldwide and now developers get an optimized database with expert-tuned defaults to build high-quality vector search applications quickly. Developers bring their documents and queries, and Elastic handles the embeddings, tuning, and infrastructure underneath. Building a vector-based application today means stitching together multiple parts of the retrieval pipeline: chunking documents, setting up and hosting embedding and reranking models, configuring indexes, storing vectors efficiently, wiring query-time embeddings and rerankers, and retrieving documents behind the matches. Each step adds operational overhead as data volumes grow, with most pure-play vector databases adding unpredictable pricing on top. Elasticsearch Vector Database handles all of this automatically without the runaway costs: * The right defaults, already set: Expert-tuned, production-grade defaults determine how vectors are stored, indexed and merged, with optimized instance types built for vector workloads. Developers don't need weeks of manual tuning to get fast vector search working. A single field type handles indexing, embeddings, and chunking, so users get semantic search without building an embedding pipeline. Hybrid search is built in, allowing developers to combine full-text and vector retrieval in one query. * High-quality relevance, out of the box: Vector and keyword search run across text, image and multi-modal vectors on one index. Developers can use their own models or Jina AI embedding and reranking models on managed GPUs through the Elastic Inference Service, with no embedding pipeline or model servers to operate, to achieve best-in-class relevance. * Scale to hundreds of billions of vectors with predictable costs: Elasticsearch Vector Database combines optimized instance types and automatic quantization through Elastic's Better Binary Quantization, which shrinks vector memory by up to 32x while keeping search fast and recall high. Pricing is based on data and search capacity, with no opaque compute units and no charges for background operations. Together, these optimizations help developers ship applications faster while keeping costs low. "Developers building AI applications shouldn't need to become infrastructure engineers to get vector search working," said Ajay Nair, general manager, Elasticsearch and Platform, Elastic. "Elasticsearch has powered vector workloads at scale for years. Today's launch takes what we've learned from those deployments and puts it behind an experience optimized for RAG, agents and semantic search, all without the infrastructure overhead or bill surprises that come with most vector solutions." Availability Elasticsearch Vector Database is available now on Elastic Cloud Serverless. Start a free trial here, create a new serverless project, and select the Vector Database use case to reach a running vector query in minutes. Additional Materials About Elastic Elastic (NYSE: ESTC) integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. The Elasticsearch Platform, which is the foundation for its search, observability, and security solutions, is used by thousands of companies, including more than 75% of the Fortune 100. Learn more at elastic.co. Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.
Thrive advances NextGen platform with enhanced security architecture powered by Elastic and Cato Networks. Platform investments strengthen Managed Detection and Response and Zero Trust access while simplifying cybersecurity for mid-market organizations. September 09, 2026 08:30 ET | Source: Thrive BOSTON, Sept. 09, 2026 (GLOBE NEWSWIRE) - Thrive, a global technology outsourcing provider for AI, cybersecurity, cloud, and IT managed services, today announced new investments in its NextGen platform through modernized security integrations from Elastic and Cato Networks. The enhancements strengthen the technology underpinning Thrive's managed security services, giving clients greater visibility, more intelligent threat detection, and modern Zero Trust access - all while reducing operational complexity. As organizations face increasingly sophisticated cyber threats and rapidly evolving IT environments, Gartner reports that nearly three-quarters of CISOs say their cybersecurity teams lack sufficient staffing. To help organizations keep pace with growing security demands, Thrive continues to invest in the technologies behind its managed services, enabling customers to benefit from enterprise-grade capabilities without the cost or complexity of building them internally. Rather than introducing standalone products, these enhancements represent Thrive's ongoing strategy of continually modernizing the platform that powers the client experience. "Building a truly NextGen managed services platform requires us to continually evaluate every layer of the technology stack and invest where we can meaningfully improve the client experience," said Bill McLaughlin, CEO of Thrive. "By bringing together best-of-breed technologies with the expertise we've built across thousands of client environments, we're delivering enterprise-grade capabilities in a way that's simpler to consume, easier to scale, and designed around better business outcomes." Modernizing Managed Detection and Response As part of this investment, Thrive has enhanced the technology foundation of its Managed Detection and Response (MDR) service with Elastic, strengthening how security data is collected, analyzed, and prioritized across customer environments. The enhanced platform enables Thrive to: * Analyze a broader range of cloud, SaaS, endpoint, network, and on-premises security data, providing a more complete view of each customer's environment. * Apply AI and machine learning to identify emerging threats while reducing false positives, enabling faster, more accurate threat detection. * Scale to support growing customer environments and increasing volumes of security telemetry without sacrificing performance or visibility. These enhancements help Thrive's 24x7 security experts focus on the activity that matters most, improving both the speed and accuracy of threat detection and response. "Security is fundamentally a data problem, but for too long, legacy constraints have forced organizations to make risk-based decisions on budget, dropping critical data and leaving blind spots where adversaries hide," said Mike Nichols, general manager, Security at Elastic. "Elastic gives Thrive the high-speed foundation to ingest and analyze security data at scale without compromise, and apply transparent, 'show-your-work' AI to automate away the mundane analyst toil. By combining our open platform with Thrive's managed expertise, we keep a critical 'human on the loop' to cut through the noise, focus on actual adversarial behavior, and respond to threats at machine speed." Advancing Secure Access with Zero Trust Thrive is also introducing Cato Networks Universal Zero Trust Network Access (UZTNA) technology into its managed security portfolio, helping organizations replace traditional VPNs with a modern approach to secure access built for today's distributed workforce technology into its managed security portfolio, helping organizations replace traditional VPNs with a modern approach to secure access built for today's distributed workforce. Instead of relying on network-based access, Cato continuously validates user identity and context, enabling Thrive to provide secure, seamless access regardless of where employees work, while reducing the complexity associated with legacy remote access technologies. Key benefits include: * Seamless application access from anywhere without relying on traditional VPN architecture. * Continuous identity validation and application-specific access controls to prevent unauthorized access and lateral movement. * Secure access for contractors and BYOD users without adding friction for IT or end users. * Reduced operational complexity through a cloud-native Zero Trust platform that simplifies ongoing management. "Secure access needs to follow the user, not the network," said Addie Finch, vice president of channels, Americas at Cato Networks. "As security and networking continue to converge, organizations are looking for platforms that apply consistent, risk-based access policies across users, devices, and applications without increasing operational burden. Together with Thrive, we're helping customers simplify secure access with a Zero Trust approach designed for today's distributed environments." These investments reflect Thrive's belief that organizations shouldn't have to choose between enterprise-grade security and operational simplicity. By continually modernizing the technologies behind its NextGen managed services platform, Thrive enables customers to benefit from the latest innovations without the complexity of managing them internally. About Thrive Thrive is a NextGen 3.0 global technology outsourcing provider that empowers small and mid-market organizations to transform their technology into a strategic advantage. Offering a breadth of services from AI and cybersecurity to cloud, compliance, and traditional MSP/MSSP solutions, Thrive's team of seasoned experts develop strategies that standardize, scale, and automate technology to achieve outsized ROI. From advisory services to a 24x7x365 SOC and NOC, Thrive provides end-to-end IT and cybersecurity management so clients can focus on innovation and growth. With Thrive, your business is always supported and always secure. Learn more at www.thrivenextgen.com or follow us on LinkedIn.
Elastic's stock jumped 48.3% in August 2026, driven by two catalysts. The software-as-a-service company first gained 11.5% on 13 August during a sector-wide rally sparked by cooling inflation data and takeover rumours around Workday. The stock then surged 19.3% following strong quarterly results on 27 August. Revenue rose 15% year-over-year to $478 million, whilst earnings climbed 17% to $0.70 per share, both exceeding analyst expectations. The AI-driven enterprise search and cybersecurity firm reported record numbers of large contracts worth at least $100,000 annually. Usage of its premium AI features amongst large clients nearly doubled to 37% from 21% the previous year.
Elastic announced it is integrating OpenAI GPT cyber models directly into Elastic Security workflows. The integration aims to enable AI-driven threat detection, investigation, and response within Elastic Security, moving towards more automated security operations for customers. The GPT cyber models operate through Elastic's Inference Service, allowing customers to use GPU-intensive AI without running their own model infrastructure. This positions Elastic as a unified platform where increased AI-driven workloads drive deeper usage of its cloud services. The move aligns with Elastic's strategy to leverage generative AI demand and data-intensive workloads as key growth catalysts. Management is differentiating itself through AI and ML-powered security features rather than basic search alone. Investors should monitor how Elastic ties this integration to Security and Elastic Cloud performance in upcoming fiscal 2027 quarters. The company has guided revenue of $486-487 million for Q2.